47 lines
1.3 KiB
C
47 lines
1.3 KiB
C
|
// This file is part of libigl, a simple c++ geometry processing library.
|
||
|
|
//
|
||
|
|
// Copyright (C) 2013 Alec Jacobson <alecjacobson@gmail.com>
|
||
|
|
//
|
||
|
|
// This Source Code Form is subject to the terms of the Mozilla Public License
|
||
|
|
// v. 2.0. If a copy of the MPL was not distributed with this file, You can
|
||
|
|
// obtain one at http://mozilla.org/MPL/2.0/.
|
||
|
|
#ifndef IGL_COUNT_H
|
||
|
|
#define IGL_COUNT_H
|
||
|
|
#include "igl_inline.h"
|
||
|
|
#include <Eigen/Sparse>
|
||
|
|
|
||
|
|
namespace igl
|
||
|
|
{
|
||
|
|
// Note: If your looking for dense matrix matlab like sum for eigen matrics
|
||
|
|
// just use:
|
||
|
|
// M.colwise().count() or M.rowwise().count()
|
||
|
|
//
|
||
|
|
|
||
|
|
// Count the number of non-zeros in the columns or rows of a sparse matrix
|
||
|
|
//
|
||
|
|
// Inputs:
|
||
|
|
// X m by n sparse matrix
|
||
|
|
// dim dimension along which to sum (1 or 2)
|
||
|
|
// Output:
|
||
|
|
// S n-long sparse vector (if dim == 1)
|
||
|
|
// or
|
||
|
|
// S m-long sparse vector (if dim == 2)
|
||
|
|
template <typename XType, typename SType>
|
||
|
|
IGL_INLINE void count(
|
||
|
|
const Eigen::SparseMatrix<XType>& X,
|
||
|
|
const int dim,
|
||
|
|
Eigen::SparseVector<SType>& S);
|
||
|
|
template <typename XType, typename DerivedS>
|
||
|
|
IGL_INLINE void count(
|
||
|
|
const Eigen::SparseMatrix<XType>& X,
|
||
|
|
const int dim,
|
||
|
|
Eigen::PlainObjectBase<DerivedS>& S);
|
||
|
|
}
|
||
|
|
|
||
|
|
#ifndef IGL_STATIC_LIBRARY
|
||
|
|
# include "count.cpp"
|
||
|
|
#endif
|
||
|
|
|
||
|
|
#endif
|
||
|
|
|